Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Alteryx Analytics
Tech Stack
- Data Analysis
- Spatial Information Analysis
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Analytics & Modeling - Big Data Analytics
Applicable Industries
- Apparel
- Retail
Applicable Functions
- Discrete Manufacturing
Use Cases
- Inventory Management
- Supply Chain Visibility
Services
- Data Science Services
About The Customer
VF Corporation is a highly diversified, branded lifestyle apparel, footwear, and related products company that serves consumers worldwide through 35 brands and multiple distribution channels. The company’s brands span five distinct areas— outdoor and action sports, jeanswear, imagewear, sportswear, and contemporary brands—and include such well-known brand names as The North Face, Nautica, JanSport, Lee, Wrangler, Majestic, Splendid, and Vans. With sales of $10.9 billion in 2012, the company is focused on attaining sustainable, long-term growth driven by continuous product innovation, as well as through geographic expansion via its wholesale partners, its owned retail stores, and targeted acquisitions.
The Challenge
VF Corporation, a highly diversified, branded lifestyle apparel, footwear, and related products company, wanted to improve corporate profitability, support retail expansion, and maximize the performance of the company’s more than 100,000 SKUs at more than 10,000 retail locations. In 2009, the company's RFSM organization assumed responsibility for the company’s customer relationship management (CRM) efforts with its retailers. While the company already had an internal CRM database, it also needed to correlate and analyze this data along with huge volumes of data from a number of other disparate internal and external sources. The company’s existing solution was not scalable or reliable enough for a company the size of VF Corporation. The existing solution did not allow VF Corporation to include spatial information, which was becoming increasingly important to the company and its retail expansion efforts.
The Solution
VF Corporation uses Alteryx to appropriately match products to consumers and specific stores based on simultaneous analysis of POS data and demographic information. The company was able to include spatial information with Alteryx, to aid in the decision-making process for new and proposed retail store locations. Not only can VF Corporation make more strategic decisions about where to open a new store, but also it can use Alteryx to help its planners and category managers place the right merchandise in those stores, even before the store opens its doors.
Operational Impact
Quantitative Benefit
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